Industrial and Medical Anomaly Detection Through Cycle-Consistent Adversarial Networks

Documenti analoghi

• Towards a Trustworthy Anomaly Detection for Critical Applications through Approximated Partial AUC Loss
  di: Bougaham, Arnaud, et al.
  Pubblicazione: (2025)
• Spatial-aware Attention Generative Adversarial Network for Semi-supervised Anomaly Detection in Medical Image
  di: Zhang, Zerui, et al.
  Pubblicazione: (2024)
• BMAD: Benchmarks for Medical Anomaly Detection
  di: Bao, Jinan, et al.
  Pubblicazione: (2023)
• Towards Photonic Band Diagram Generation with Transformer-Latent Diffusion Models
  di: Delchevalerie, Valentin, et al.
  Pubblicazione: (2025)
• Thermal Image Calibration and Correction using Unpaired Cycle-Consistent Adversarial Networks
  di: Rajoli, Hossein, et al.
  Pubblicazione: (2024)